TY - JOUR
T1 - Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging
AU - Oishi, Kenichi
AU - Faria, Andreia V.
AU - Yoshida, Shoko
AU - Chang, Linda
AU - Mori, Susumu
N1 - Funding Information:
The authors thank Dr. Jon Skranes and Dr. Thomas Ernst for their helpful comments, and Ms. Mary McAllister for manuscript editing. This publication was made possible by grants from the National Institutes of Health ( R21AG033774 , R01HD065955 , K24DA016170 , R01MH061427 , U54NS56883 , P41RR015241 , R03EB014357 , RO1AG20012 , and P50AG005146 ), and from the National Center for Research Resources grant G12-RR003061 . Its contents are solely the responsibility of the authors and do not necessarily represent the official view of any of these Institutes.
PY - 2013
Y1 - 2013
N2 - The development of the brain is structure-specific, and the growth rate of each structure differs depending on the age of the subject. Magnetic resonance imaging (MRI) is often used to evaluate brain development because of the high spatial resolution and contrast that enable the observation of structure-specific developmental status. Currently, most clinical MRIs are evaluated qualitatively to assist in the clinical decision-making and diagnosis. The clinical MRI report usually does not provide quantitative values that can be used to monitor developmental status. Recently, the importance of image quantification to detect and evaluate mild-to-moderate anatomical abnormalities has been emphasized because these alterations are possibly related to several psychiatric disorders and learning disabilities. In the research arena, structural MRI and diffusion tensor imaging (DTI) have been widely applied to quantify brain development of the pediatric population. To interpret the values from these MR modalities, a "growth percentile chart," which describes the mean and standard deviation of the normal developmental curve for each anatomical structure, is required. Although efforts have been made to create such a growth percentile chart based on MRI and DTI, one of the greatest challenges is to standardize the anatomical boundaries of the measured anatomical structures. To avoid inter- and intra-reader variability about the anatomical boundary definition, and hence, to increase the precision of quantitative measurements, an automated structure parcellation method, customized for the neonatal and pediatric population, has been developed. This method enables quantification of multiple MR modalities using a common analytic framework. In this paper, the attempt to create an MRI- and a DTI-based growth percentile chart, followed by an application to investigate developmental abnormalities related to cerebral palsy, Williams syndrome, and Rett syndrome, have been introduced. Future directions include multimodal image analysis and personalization for clinical application.
AB - The development of the brain is structure-specific, and the growth rate of each structure differs depending on the age of the subject. Magnetic resonance imaging (MRI) is often used to evaluate brain development because of the high spatial resolution and contrast that enable the observation of structure-specific developmental status. Currently, most clinical MRIs are evaluated qualitatively to assist in the clinical decision-making and diagnosis. The clinical MRI report usually does not provide quantitative values that can be used to monitor developmental status. Recently, the importance of image quantification to detect and evaluate mild-to-moderate anatomical abnormalities has been emphasized because these alterations are possibly related to several psychiatric disorders and learning disabilities. In the research arena, structural MRI and diffusion tensor imaging (DTI) have been widely applied to quantify brain development of the pediatric population. To interpret the values from these MR modalities, a "growth percentile chart," which describes the mean and standard deviation of the normal developmental curve for each anatomical structure, is required. Although efforts have been made to create such a growth percentile chart based on MRI and DTI, one of the greatest challenges is to standardize the anatomical boundaries of the measured anatomical structures. To avoid inter- and intra-reader variability about the anatomical boundary definition, and hence, to increase the precision of quantitative measurements, an automated structure parcellation method, customized for the neonatal and pediatric population, has been developed. This method enables quantification of multiple MR modalities using a common analytic framework. In this paper, the attempt to create an MRI- and a DTI-based growth percentile chart, followed by an application to investigate developmental abnormalities related to cerebral palsy, Williams syndrome, and Rett syndrome, have been introduced. Future directions include multimodal image analysis and personalization for clinical application.
KW - Brain atlas
KW - Diffusion tensor imaging
KW - Magnetic resonance imaging
KW - Neonate
KW - Normalization
KW - Pediatric
KW - Quantification
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U2 - 10.1016/j.ijdevneu.2013.06.004
DO - 10.1016/j.ijdevneu.2013.06.004
M3 - Article
C2 - 23796902
AN - SCOPUS:84880382039
SN - 0736-5748
VL - 31
SP - 512
EP - 524
JO - International Journal of Developmental Neuroscience
JF - International Journal of Developmental Neuroscience
IS - 7
ER -